Scientist 3 Translational Medicine (Cardiovascular and Metabolism)

Genentech; San Francisco (CA); Vor Ort; USD 100.000 - 186.000; Vollzeit

Zusammenfassung

Genentech's Translational Medicine (TM OMNI) Department seeks a Scientist 3 to support cardiovascular/metabolism programs by integrating -Omics data analysis with assay development in a hands-on role at the South San Francisco campus.

You will collaborate across R&D to generate biomarkers and targets, communicate findings in reports and publications, and work with gRED departments and external partners to advance translational research in drug development.

Qualifikationen

• PhD in Biological Sciences with 0–6 years in post-doc or industry (wet lab and bioinformatics).
• Experience with cell culture, primary cell isolation, immunostaining, molecular biology, ELISA, western blot, sequencing, qRT-PCR, or transcriptomics.

Aufgaben

• Establish experiments with disease-relevant in vitro human cell models.
• Develop, qualify, and validate custom assays for translational research and pipeline programs.

Kenntnisse

Bioinformatics

R

Python

Wet lab

qRT-PCR

Genomic sequencing

Data analysis

Ausbildung

PhD in Biological Sciences

Tools

ELISA

Simoa

NULISA

Jobbeschreibung

The Position

We advance science so that we all have more time with the people we love. Genentech's Translational Medicine OMNI (TM OMNI) Department supports the entire R&D portfolio of novel therapies in Ophthalmology, Metabolism, Neuroscience, and Immunology, (OMNI). We develop and implement biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success. Additionally, we conduct foundational clinical translational research to study the molecular and cellular pathways driving disease to generate novel target and biomarker approaches.

The Opportunity

We are seeking a talented and highly motivated Scientist 3 to join Genentech’s Translational Medicine (TM) team on-site at our South San Francisco campus. The candidate will collaborate with scientists across R&D to provide biomarker support for cardiovascular and metabolism (CVM) programs across different stages of drug development while also generating insights for the next generation of CVM drug targets. This role lies at the intersection of data science and the wet lab—analyzing and interpreting -Omics datasets while simultaneously developing assays and experiments to execute on data-driven insights. This is a hands-on, high-impact position designed for a scientist who is eager to apply their scientific training to the complexities of drug development in an interdisciplinary, collaborative environment.

As an integral member of our dynamic team, you will:

• Establish and conduct experiments with disease-relevant in vitro human cell models.
• Develop, qualify, and validate custom assays (e.g., ELISA, Simoa, NULISA) to support disease-oriented translational research & pipeline programs (goes beyond running commercial assay kits).
• Analyze -Omics datasets (e.g. proteomics, metabolomics, RNAseq) generated from clinical and preclinical samples to discover candidate biomarkers and targets.
• Clearly and concisely communicate findings internally and externally through written reports, publications, and presentations.
• Collaborate closely with other gRED departments and external partners.

Who You Are:

The ideal candidate will have:

• A PhD in Biological Sciences and 0-6 years of experience in a post-doc or industry setting with wet lab and bioinformatics experience demonstrated in high-impact publications. Past experience with human/clinical research or a deep understanding of metabolism or metabolic diseases is a plus, but not required.
• Experience in, and deep technical understanding of, sample collection/processing and cellular/molecular lab techniques such as cell culture, primary cell isolation from tissues, immunostaining, molecular biology, ELISA, western blot, genomic sequencing, qRT-PCR, and/or transcriptomics is required.
• Sufficient programming experience (using R or Python) to run differential expression pipelines, perform pathway enrichment analysis, and generate compelling figures.
• Must demonstrate independence with ability to develop hypotheses, design experiments/studies, develop analysis plans, interpret and present results.
• Excellent oral and written presentation skills, creative problem-solving abilities, and a passion for drug discovery and development.
• Excellent teamwork, communication, time management, organization skills, and ability to work independently.

Locations:

This is a primarily onsite position in South San Francisco.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of California is $100,400 -186,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.